Relay By Backops AI

BackOps describes itself as the AI resolution layer for companies that make or move physical goods. It improves and executes internal operational processes that span different software systems, internal teams and external partners such as suppliers, carriers and customers. The goal, according to the site, is to add capacity, improve margins and deliver more reliable service.

How it works

BackOps combines supply chain expertise, what it calls resolution intelligence and the infrastructure to execute processes. The site describes three stages, contrasting the old way with its approach.

Improve the process: instead of a company working out improvements and turning operational knowledge into resolution paths on its own, BackOps applies supply chain expertise to strengthen how the work is done.

Get it running: instead of building connections, execution logic and approval controls from scratch, you start with connectors and execution infrastructure designed for work across systems and outside parties, running under your own rules and approvals.

Keep it running: instead of owning all ongoing maintenance, BackOps provides continuous improvement and upkeep as the business changes.

Typical use

In supply chain operations, many tasks are exceptions that need someone to chase information: a late shipment, a mismatched invoice, a missing document or an order change. A resolution layer like this aims to detect these issues, gather the needed information from systems and partners, and either fix them or pass them to a person for approval.

Who it is for

It targets manufacturers, distributors, logistics providers and other companies with complex operations and many handoffs. It is an enterprise product, sold through demos rather than self-service sign-up.

Things to consider

The site explains the approach in general terms, so ask for specific examples in your industry during a demo. Check which ERP, transport and email systems it connects to, how approvals and audit trails work, and how errors are handled before automated actions reach outside partners. Pricing is not published, and value will depend on the volume of exceptions your team handles.

A good first step is to pick one process with a lot of repetitive exceptions, such as delivery delays or invoice mismatches, and measure how much time it takes today. That baseline makes it easier to judge any results from a pilot.